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储能系统技术 储能系统 ★ 5.0

考虑离散负荷恢复的两阶段全流程综合电-气传输系统恢复

Two-stage Full-process Integrated Power-gas Transmission System Restoration Considering Discrete Load Restoration

作者 Hongle Liang · Changming Chen · Zhenzhi Lin · Li Yang
期刊 IEEE Transactions on Power Systems
出版日期 2025年7月
技术分类 储能系统技术
技术标签 储能系统
相关度评分 ★★★★★ 5.0 / 5.0
关键词 电力系统恢复 综合电力 - 天然气传输系统 离散负荷恢复 两阶段模型 恢复效率
语言:

中文摘要

blackout后的快速电力系统恢复至关重要,需采用全流程协同恢复策略。现有研究大多忽略实际开关操作导致的离散负荷恢复特性,且鲜有考虑电力与天然气传输系统在恢复过程中的交互影响。为此,本文提出一种考虑离散负荷恢复的两阶段全流程综合电-气传输系统恢复模型。首先构建两阶段恢复框架,第一阶段基于网络拓扑与资源分布实施系统分区;第二阶段据此开展多区域并行的全流程协同恢复建模。在中国某城市125节点电网与49节点气网上的仿真结果表明,所提模型显著提升了发电与负荷恢复效率,验证了其有效性与优越性。

English Abstract

Expeditious power system (PS) restoration is always the top priority after blackouts, which necessitates full-process restoration instead of considering different phases separately. More importantly, the discrete load restoration characteristic owing to practical switching operations is neglected in most studies. Besides, mutual interactions between the power and natural gas transmission systems (TS & NTS) during restoration are rarely studied. Therefore, a two-stage full-process integrated power-gas transmission system (IPGTS) restoration model considering discrete load restoration (DLR) is proposed in this paper. First, a two-stage restoration framework for IPGTS is presented, and a first-stage submodel is proposed to implement IPGTS zone partitioning based on connectivity and classification constraints according to the topology and resource abundance. Then, based on the zone partitioning results, the second-stage parallel full-process IPGTS restoration submodel of multiple zones considering DLR is proposed. Finally, case studies on the 125-bus TS and 49-node NTS in a Chinese city are performed to justify the effectiveness in enhancing restoration efficiency and the validity of the proposed model. Simulation results exhibit higher restoration benefits and better performances in power generation and load restorations.
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SunView 深度解读

该两阶段电-气系统恢复技术对阳光电源PowerTitan储能系统和ST系列储能变流器具有重要应用价值。研究中的离散负荷恢复建模与多区域并行恢复策略,可直接应用于大型储能系统的黑启动功能开发,优化储能系统在电网故障后的快速响应能力。全流程协同恢复框架为阳光电源iSolarCloud云平台提供智能调度算法支撑,实现光储一体化系统的分区自治与协同恢复。特别是电-气耦合建模思路,可拓展至氢储能系统的能量管理,提升阳光电源在新型电力系统中的综合能源调控能力,增强构网型GFM控制技术在孤岛运行场景下的实用性。